gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r

There has been rapid development in tools for multivariate analysis based on fully specified statistical models or ‘joint models’. One approach attracting a lot of attention is generalized linear latent variable models (GLLVMs). However, software for fitting these models is typically slow and not practical for large datasets. The r package gllvm offers relatively fast methods to fit GLLVMs via maximum likelihood, along with tools for model...